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A complete ranking method for interval-valued intuitionistic fuzzy numbers and its applications to multicriteria decision making

  • Methodologies and Application
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Abstract

In this study, a complete ranking method for interval-valued intuitionistic fuzzy numbers (IVIFNs) is introduced by using a score function and three types of entropy functions. This work is motivated by the work of Lakshmana Gomathi Nayagam et al. (Soft Comput 21, 7077–7082, 2017) in which a novel non-hesitant score function for the theory of interval-valued intuitionistic fuzzy sets was introduced. The authors claimed that the proposed non-hesitant score function could overcome the shortcomings of some familiar methods. By using some examples, they pointed out that the non-hesitant score function is better compared with Sahin’s and Zhang et al.’s approaches. It is pointed out that although in some specific cases, the cited method overcomes the shortcomings of several of the existing methods mentioned, it also created new defects that can be solved by other methods. The main aim of this study is to give a complete ranking method for IVIFNs which can rank any two arbitrary IVIFNs. At last, two examples to demonstrate the effectiveness of the proposed method are provided.

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Funding

This work of the first author is partially supported by Key Project of Education Research Project of Zhaoqing Education Development Institute (ZQJYY2018031), Philosophy and Social Science Planning Project of Guangdong Province (GD16XXL02) and China National Education Planning Project (BBA180078), the second author is partially supported in part by NNSF of China (51508319, 61374195, 51409157) and the NSF of Zhejiang Province Ministry of Education (Y201327642), and the third author is partially supported by NNSF of China (11301474) and NSF of Guangdong Province (2018A030313536).

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Authors and Affiliations

  1. School of Education, Zhaoqing University, Zhaoqing, 526061, Guangdong, People’s Republic of China

    Weiwei Huang

  2. College of Transport and Communications, Shanghai Maritime University, Shanghai, 201306, People’s Republic of China

    Fangwei Zhang

  3. School of Mathematics and Statistics, Zhaoqing University, Zhaoqing, 526061, Guangdong, People’s Republic of China

    Shihe Xu

Authors
  1. Weiwei Huang
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  2. Fangwei Zhang
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  3. Shihe Xu
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Corresponding authors

Correspondence to Fangwei Zhang or Shihe Xu.

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The authors declare that they have no conflict of interest.

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This study does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by V. Loia.

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Huang, W., Zhang, F. & Xu, S. A complete ranking method for interval-valued intuitionistic fuzzy numbers and its applications to multicriteria decision making. Soft Comput 25, 2513–2520 (2021). https://doi.org/10.1007/s00500-020-05324-6

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  • DOI: https://doi.org/10.1007/s00500-020-05324-6

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